{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-04-21 14:42:10,896 start to laod dataset\n",
      "2020-04-21 14:42:10,923 done with laod dataset\n"
     ]
    }
   ],
   "source": [
    "#400张照片，40位研究人员，每人10张\n",
    "#加载的图片存在faces变量里面，sk已经替我们将照片处理成64*64且人脸居中显示。因为人脸关键是五官纹理和特征\n",
    "import time\n",
    "import logging\n",
    "from sklearn.datasets import fetch_olivetti_faces\n",
    "logging.basicConfig(level=logging.INFO,format='%(asctime)s %(message)s')\n",
    "data_home='/Users/elvis/dataset/sklearn-book/datasets/'\n",
    "logging.info('start to laod dataset')\n",
    "faces = fetch_olivetti_faces(data_home=data_home)\n",
    "logging.info('done with laod dataset')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "simple count: 400 \n",
      "target count :40\n",
      "image size:64 x64\n",
      "dataset shape:(400, 4096)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "X = faces.data\n",
    "y = faces.target\n",
    "targets = np.unique(faces.target)\n",
    "target_names = np.array([\"c%d\" % t for t in targets]) #索引号当做名字\n",
    "n_targets = target_names.shape[0]\n",
    "n_samples,h,w = faces.images.shape #加载图片时fetch_olivetti_faces函数已经将RGB转成[0,1]的浮点数，64*64 就是4096个特征\n",
    "print(\"simple count: {} \\ntarget count :{}\".format(n_samples,n_targets))\n",
    "print(\"image size:{} x{}\\ndataset shape:{}\\n\".format(w,h,X.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['c0', 'c1', 'c2', 'c3', 'c4', 'c5', 'c6', 'c7', 'c8', 'c9', 'c10',\n",
       "       'c11', 'c12', 'c13', 'c14', 'c15', 'c16', 'c17', 'c18', 'c19',\n",
       "       'c20', 'c21', 'c22', 'c23', 'c24', 'c25', 'c26', 'c27', 'c28',\n",
       "       'c29', 'c30', 'c31', 'c32', 'c33', 'c34', 'c35', 'c36', 'c37',\n",
       "       'c38', 'c39'], dtype='<U3')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "def plot_gallery(images,titles,h,w,n_row=2,n_col=5):\n",
    "    '''显示图片阵列'''\n",
    "    plt.figure(figsize=(2*n_col,2.2*n_row),dpi=144)\n",
    "    plt.subplots_adjust(bottom=0,left=.01,right=.99,top=.90,hspace=.01)\n",
    "    for i in range(n_row * n_col):\n",
    "        plt.subplot(n_row,n_col,i+1)\n",
    "        plt.imshow(images[i].reshape((h,w)),cmap=plt.cm.gray)\n",
    "        plt.title(titles[i])\n",
    "        plt.axis('off')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x633.6 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#分两行显示\n",
    "n_row = 2\n",
    "n_col = 6\n",
    "sample_images = None\n",
    "sample_titles = []\n",
    "for i in range(n_targets):\n",
    "    people_images = X[y==i]\n",
    "    people_sample_index=np.random.randint(0,people_images.shape[0],1)\n",
    "    people_sample_image=people_images[people_sample_index,:]\n",
    "    if sample_images is not None:\n",
    "        sample_images=np.concatenate((sample_images,people_sample_image),axis=0)\n",
    "    else:\n",
    "        sample_images=people_sample_image\n",
    "    sample_titles.append(target_names[i])\n",
    "\n",
    "plot_gallery(sample_images,sample_titles,h,w,n_row,n_col)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(320,)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "x_train,x_test,y_train,y_test = train_test_split(X,y,test_size=0.2,random_state=4)\n",
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "exploring explained var ratio for dataset ...\n",
      "done in 1.36s\n"
     ]
    }
   ],
   "source": [
    "#因为特征多，而数据集少，采用类似支持向量机之类的算法，无法获得较好的效果，因此需要先降维，采用PCA的办法\n",
    "#K取值10~300之间，每隔30取一次样。在所有的k值样本下，计算经过pca算法处理后的数据还原率，然后根据数据还原率要求，来确定合理的k值。\n",
    "#根据本例选择失真度小于5%，即pca处理后能保留95%的原数据信息\n",
    "from sklearn.decomposition import PCA\n",
    "print(\"exploring explained var ratio for dataset ...\")\n",
    "candidate_components = range(10,300,30)\n",
    "explained_ratios = []\n",
    "start = time.perf_counter()\n",
    "for c in candidate_components:\n",
    "    pca = PCA(n_components=c)\n",
    "    X_pca = pca.fit_transform(X)\n",
    "    explained_ratios.append(np.sum(pca.explained_variance_ratio_))\n",
    "print('done in {0:.2f}s'.format(time.perf_counter()-start))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6),dpi=144)\n",
    "plt.grid()\n",
    "plt.plot(candidate_components,explained_ratios)\n",
    "plt.xlabel('Number of PCA Components')\n",
    "plt.ylabel('Explained Variance Ratio')\n",
    "plt.title('Explained variance ratio for PCA')\n",
    "plt.yticks(np.arange(0.5,1.05,.05))\n",
    "plt.xticks(np.arange(0,300,20));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting PCA by using training data...\n",
      "Done in 0.11s\n",
      "Projecting input data for PCA...\n",
      "Done in 0.01s\n",
      "before (320, 4096)\n",
      "after (320, 140)\n"
     ]
    }
   ],
   "source": [
    "#根据上图，要保留95%，k选择140即可\n",
    "n_components=140\n",
    "print(\"Fitting PCA by using training data...\")\n",
    "start=time.perf_counter()\n",
    "pca=PCA(n_components=n_components,svd_solver='randomized',whiten=True).fit(x_train)\n",
    "print(\"Done in {0:.2f}s\".format(time.perf_counter() - start))\n",
    "print(\"Projecting input data for PCA...\")\n",
    "start=time.perf_counter()\n",
    "x_train_pca=pca.transform(x_train)\n",
    "x_test_pca=pca.transform(x_test)\n",
    "print(\"Done in {0:.2f}s\".format(time.perf_counter() - start))\n",
    "print(\"before {}\".format(x_train.shape))\n",
    "print(\"after {}\".format(x_train_pca.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Searching the best parameters for SVC...\n",
      "Fitting 5 folds for each of 25 candidates, totalling 125 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=4)]: Done  44 tasks      | elapsed:    1.2s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters found by grid search:\n",
      "{'C': 5, 'gamma': 0.001}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=4)]: Done 125 out of 125 | elapsed:    1.9s finished\n"
     ]
    }
   ],
   "source": [
    "#使用GridSearchCV来选择1个最佳的SVC模型参数，然后对模型进行训练\n",
    "from sklearn.model_selection import GridSearchCV \n",
    "from sklearn import svm\n",
    "print(\"Searching the best parameters for SVC...\")\n",
    "param_grid={'C':[1,5,10,50,100],'gamma':[0.0001,0.0005,0.001,0.005,0.01]}\n",
    "clf=GridSearchCV(svm.SVC(kernel='rbf',class_weight='balanced'),param_grid,verbose=2,n_jobs=4)\n",
    "clf=clf.fit(x_train_pca,y_train)\n",
    "print(\"Best parameters found by grid search:\")\n",
    "print(clf.best_params_)\n",
    "#因为GridSearchCV使用矩阵式搜索法，对每组参数组合进行一次训练，我们通过设置n_jobs来启动4个线程并发执行，\n",
    "#同时设置verbose=2来输出一些过程信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predict test dataset...\n",
      "Done in 0.01.\n",
      "\n",
      "confusion matrix:\n",
      "[[1 0 0 ... 0 0 0]\n",
      " [1 2 0 ... 0 0 0]\n",
      " [0 0 1 ... 0 0 0]\n",
      " ...\n",
      " [0 0 0 ... 1 0 0]\n",
      " [0 0 0 ... 0 2 0]\n",
      " [0 0 0 ... 0 0 2]]\n",
      "0.95\n",
      "(80,)\n",
      "(80,)\n"
     ]
    }
   ],
   "source": [
    "#接着使用这个模型对测试样本进行测试，并使用混淆矩阵来预测准确性信息\n",
    "from sklearn.metrics import confusion_matrix\n",
    "start=time.perf_counter()\n",
    "print(\"Predict test dataset...\")\n",
    "y_pred=clf.best_estimator_.predict(x_test_pca)\n",
    "cm=confusion_matrix(y_test,y_pred,labels=range(n_targets))\n",
    "print(\"Done in {0:.2f}.\\n\".format(time.perf_counter()-start))\n",
    "print(\"confusion matrix:\")\n",
    "#np.set_printoptions(threshold=sys.maxsize)\n",
    "print(cm)\n",
    "print(clf.best_estimator_.score(x_test_pca,y_test))\n",
    "print(y_test.shape)\n",
    "print(y_pred.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 36,\n",
       "       37, 38, 39])"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.unique(y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([18,  0,  6, 31, 10, 27, 36, 32, 29])"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred[0:9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Number of classes, 37, does not match size of target_names, 40. Try specifying the labels parameter",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-40-4a5ec2ff2c8d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetrics\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mclassification_report\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclassification_report\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_test\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my_pred\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mtarget_names\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtarget_names\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/sklearn/metrics/_classification.py\u001b[0m in \u001b[0;36mclassification_report\u001b[0;34m(y_true, y_pred, labels, target_names, sample_weight, digits, output_dict, zero_division)\u001b[0m\n\u001b[1;32m   1990\u001b[0m             )\n\u001b[1;32m   1991\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1992\u001b[0;31m             raise ValueError(\n\u001b[0m\u001b[1;32m   1993\u001b[0m                 \u001b[0;34m\"Number of classes, {0}, does not match size of \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1994\u001b[0m                 \u001b[0;34m\"target_names, {1}. Try specifying the labels \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Number of classes, 37, does not match size of target_names, 40. Try specifying the labels parameter"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "print(classification_report(y_test,y_pred,target_names=target_names))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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